about 3 hours ago
Hawthorne, CA, USA
Entry Level / Mid Level
Base Salary
$125k - $175k/yr
Responsibilities
- Design, build, and operate secure, scalable AI platforms and proxy systems used by teams throughout SpaceX.
- Own the full lifecycle of platform development including design, testing, deployment, and continuous improvement.
- Drive adoption by communicating value, directly supporting engineers, and building shared prompts, skills, and infrastructure.
- Act entrepreneurially to identify high-value opportunities and create solutions for rapid software deployment.
- Collaborate closely with stakeholders to understand needs and deliver platforms that connect AI to real tools and workflows.
- Onboard new models, expand compute resources, and optimize efficiency of proxy systems.
- Develop tools that mitigate business risk, such as AI-powered code review and PR automation.
- Focus on lean, effective, and secure applied AI that maximizes engineering expertise conversion.
Requirements
- Bachelor’s degree in computer science, computer engineering, or related field; OR 2+ years of professional experience in software development.
- Experience developing production software systems (platform, backend, or full stack).
- Experience building internal developer platforms, AI gateways, or secure proxy systems in production is preferred.
- Hands-on experience with Docker containers and security-focused architecture.
- Familiarity with MLOps, model onboarding, and infrastructure for large-scale AI usage.
- Proficiency in Python and experience with additional programming languages (Go, Java, TypeScript, etc.).
- Knowledge of Kubernetes, container orchestration, and infrastructure-as-code tools.
- Strong desire to enable others through documentation, tools, and training.
Benefits
- Comprehensive medical, vision, and dental coverage.
- 401(k) retirement plan with company matching.
- Paid parental leave and short/long-term disability insurance.
- Accrual of 3 weeks of paid vacation and eligibility for 10 or more paid holidays per year.
- Access to employee stock purchase plan and potential discretionary bonuses.
Tech Stack
DockerGoJavaKubernetesPythonTypeScript
Categories
AI & MLBackendDevOpsFull StackSecurity